STSURVIMPUTE: Stata module for flexible imputation of censored survival data
stsurvimpute singly imputes censored observation-times using a parametric survival model. Available basic parametric models are Weibull, log-logistic and lognormal; also supported are Royston-Parmar flexible parametric models, implemented by stpm2. Variables in varlist constitute a prognostic model that is used for predicting individual imputed survival times. Such a model should make the imputations more accurate than using only the overall distribution.
|Requires:||Stata version 10|
|Date of creation:||22 Jan 2011|
|Date of revision:|
|Note:||This module should be installed from within Stata by typing "ssc install stsurvimpute". Windows users should not attempt to download these files with a web browser.|
|Contact details of provider:|| Postal: Boston College, 140 Commonwealth Avenue, Chestnut Hill MA 02467 USA|
Web page: http://fmwww.bc.edu/EC/
More information through EDIRC
|Order Information:||Web: http://repec.org/docs/ssc.php|
When requesting a correction, please mention this item's handle: RePEc:boc:bocode:s457225. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Christopher F Baum)
If references are entirely missing, you can add them using this form.